Research
My PhD research focuses on robotic systems for unmanned ground vehicles operating in unknown and unstructured environments.
The main goal is to develop methods that allow ground robots to perceive local terrain, estimate traversability, react to obstacles, and generate safe motion commands in real time.
Research areas
Robotic perception
My work involves RGB-D cameras, LiDAR sensors, thermal cameras and onboard perception pipelines for real robotic platforms.
Predictive control and learning-based guidance
I am interested in combining model predictive control methods, such as MPPI, with learned guidance and local path refinement.
Real-world robotic deployment
A significant part of my work focuses on practical deployment issues: ROS 2, Docker, embedded GPUs, Jetson platforms, multi-machine communication, sensors and real-time constraints.
Long-term objective
The long-term objective of my PhD is to develop terrain-aware navigation methods for real robots in search and rescue scenarios, where the environment is unknown, partially observable and difficult to model in advance.